[R] using weights in lrm

[Stephan Lindner]

Dear all,


just a quick question regarding weights in logistic regression. I do 



results <- lrm(y.js ~
                h.hhsize             
               + h.death1              
               + h.ill1                  
               + h.ljob1              
               + h.fin1 
               + h.div1 
               + h.fail1 
               + h.sex
               + h.ch.1      
               + h.ch.5      
               + h.ch.12     
               + h.ch.13     
               + h.popgroup
               + y.school.now
               ,x=T,y=T, data=d.caps1y, weights=weightsd, normwt=TRUE
                )


The regression works (in the sense that the results are not way off
the one w/o wighting the sample), but I get the following warning messages:

Warning messages:
1: number of items to replace is not a multiple of replacement length 
2: currently weights are ignored in model validation and bootstrapping lrm fits in: lrm(y.js ~ h.hhsize + h.death1 + h.ill1 + h.ljob1 + h.fin1 +  


Perhaps someone can help me clearifying the warning messages -- thanks
a lot in advance !


Cheers,

Stephan

	


-- 
-----------------------
Stephan Lindner, Dipl.Vw.
Doctoral Student in Economics
1512 Gilbert Ct., V-17
Ann Arbor, Michigan 48105
U.S.A.
Tel.: 001-734-272-2437
E-Mail: lindners at umich.edu

"If I have seen further it is by standing on the shoulders of giants."
-- Isaac Newton